No reliable gray matter alterations in idiopathic dystonia
BackgroundThe structural brain abnormalities associated with idiopathic dystonia (ID) remain inadequately understood. Previous voxel-based morphometry (VBM) studies examining whole-brain gray matter (GM) volume alterations in patients with ID have reported inconsistent and occasionally contradictory...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-03-01
|
| Series: | Frontiers in Neurology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1510115/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850046182197297152 |
|---|---|
| author | Zhen-Yu Wang Fei Chen Hai-Hua Sun Hua-Liang Li Jian-Bin Hu Zhen-Yu Dai Shu Wang |
| author_facet | Zhen-Yu Wang Fei Chen Hai-Hua Sun Hua-Liang Li Jian-Bin Hu Zhen-Yu Dai Shu Wang |
| author_sort | Zhen-Yu Wang |
| collection | DOAJ |
| description | BackgroundThe structural brain abnormalities associated with idiopathic dystonia (ID) remain inadequately understood. Previous voxel-based morphometry (VBM) studies examining whole-brain gray matter (GM) volume alterations in patients with ID have reported inconsistent and occasionally contradictory findings.MethodsWe performed a coordinate-based meta-analysis (CBMA) using the latest seed-based d mapping with permutation of subject images (SDM-PSI) technique to identify consistent GM alterations in patients with ID at the whole-brain level. Additionally, meta-regression analyses were conducted to explore the potential moderating effects of age, gender, and disease duration on GM volume.ResultsThe CBMA incorporated 27 VBM studies, comprising 32 datasets with a total of 840 patients with ID and 834 healthy controls. Our analysis did not identify consistent or reliable GM alterations in patients with ID. The robustness of these findings was confirmed through a jackknife sensitivity analysis. Meta-regression analyses revealed that disease duration significantly influenced GM volume in the right insula.ConclusionBased on the best practice guidelines for CBMA, we utilized the most recent SDM-PSI algorithm to perform a new CBMA that included a larger group of individuals with ID. However, in contrast to previous CBMAs, we did not observe any consistent alterations in GM in ID. The findings suggest that using GM volume assessed by VBM as an imaging marker for ID may not be reliable. This could be attributed to ID being a functional disorder, or the inconsistency in GM alterations may be influenced by demographic and clinical variations, differences in imaging protocols and analysis methods, or small sample sizes. It is imperative to control for subject characteristics, employ standardized VBM methodologies, and enhance sample sizes in future research. |
| format | Article |
| id | doaj-art-c6a6834b90bd448183ecb28a810f9f6b |
| institution | DOAJ |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-c6a6834b90bd448183ecb28a810f9f6b2025-08-20T02:54:30ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-03-011610.3389/fneur.2025.15101151510115No reliable gray matter alterations in idiopathic dystoniaZhen-Yu Wang0Fei Chen1Hai-Hua Sun2Hua-Liang Li3Jian-Bin Hu4Zhen-Yu Dai5Shu Wang6Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, ChinaDepartment of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, ChinaDepartment of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, ChinaDepartment of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, ChinaDepartment of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, ChinaDepartment of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, ChinaDepartment of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, ChinaBackgroundThe structural brain abnormalities associated with idiopathic dystonia (ID) remain inadequately understood. Previous voxel-based morphometry (VBM) studies examining whole-brain gray matter (GM) volume alterations in patients with ID have reported inconsistent and occasionally contradictory findings.MethodsWe performed a coordinate-based meta-analysis (CBMA) using the latest seed-based d mapping with permutation of subject images (SDM-PSI) technique to identify consistent GM alterations in patients with ID at the whole-brain level. Additionally, meta-regression analyses were conducted to explore the potential moderating effects of age, gender, and disease duration on GM volume.ResultsThe CBMA incorporated 27 VBM studies, comprising 32 datasets with a total of 840 patients with ID and 834 healthy controls. Our analysis did not identify consistent or reliable GM alterations in patients with ID. The robustness of these findings was confirmed through a jackknife sensitivity analysis. Meta-regression analyses revealed that disease duration significantly influenced GM volume in the right insula.ConclusionBased on the best practice guidelines for CBMA, we utilized the most recent SDM-PSI algorithm to perform a new CBMA that included a larger group of individuals with ID. However, in contrast to previous CBMAs, we did not observe any consistent alterations in GM in ID. The findings suggest that using GM volume assessed by VBM as an imaging marker for ID may not be reliable. This could be attributed to ID being a functional disorder, or the inconsistency in GM alterations may be influenced by demographic and clinical variations, differences in imaging protocols and analysis methods, or small sample sizes. It is imperative to control for subject characteristics, employ standardized VBM methodologies, and enhance sample sizes in future research.https://www.frontiersin.org/articles/10.3389/fneur.2025.1510115/fullidiopathic dystoniavoxel-based morphometrygray mattercoordinate-based meta-analysisseed-based d mapping |
| spellingShingle | Zhen-Yu Wang Fei Chen Hai-Hua Sun Hua-Liang Li Jian-Bin Hu Zhen-Yu Dai Shu Wang No reliable gray matter alterations in idiopathic dystonia Frontiers in Neurology idiopathic dystonia voxel-based morphometry gray matter coordinate-based meta-analysis seed-based d mapping |
| title | No reliable gray matter alterations in idiopathic dystonia |
| title_full | No reliable gray matter alterations in idiopathic dystonia |
| title_fullStr | No reliable gray matter alterations in idiopathic dystonia |
| title_full_unstemmed | No reliable gray matter alterations in idiopathic dystonia |
| title_short | No reliable gray matter alterations in idiopathic dystonia |
| title_sort | no reliable gray matter alterations in idiopathic dystonia |
| topic | idiopathic dystonia voxel-based morphometry gray matter coordinate-based meta-analysis seed-based d mapping |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1510115/full |
| work_keys_str_mv | AT zhenyuwang noreliablegraymatteralterationsinidiopathicdystonia AT feichen noreliablegraymatteralterationsinidiopathicdystonia AT haihuasun noreliablegraymatteralterationsinidiopathicdystonia AT hualiangli noreliablegraymatteralterationsinidiopathicdystonia AT jianbinhu noreliablegraymatteralterationsinidiopathicdystonia AT zhenyudai noreliablegraymatteralterationsinidiopathicdystonia AT shuwang noreliablegraymatteralterationsinidiopathicdystonia |